Priv. Doz. Dr. Kuangyu Shi

Research Interests

Translational molecular imaging computing
Artificial intelligence for nuclear medicine imaging & therapy
Digital twin and computational biology for theranostics
Nuclear medicine instrumentational and physical computing

Curriculum Vitae

04/2018, Senior lecturer and senior scientist at Chair for Computer-aided Medical Procedures, School of Computation, Information and Technology (CIT), Technical University of Munich, Germany
04/2018, Chief medical physicist & head of Lab for Artiﬁcial Intelligence & Translational Theranostics at Dept. Nuclear Medicine, Inselspital, University of Bern, Switzerland
05/2018, Habilitation at Dept. Informatics, Technical University of Munich, Germany
12/2011 – 03/2018, Head of subgroup for translational molecular imaging computing at Dept. Nuclear Medicine, Technical University of Munich, Germany
12/2008 – 11/2011, Postdoctoral researcher at Dept. Radiation Oncology & Dept. Nuclear Medicine, Technical University of Munich, Germany
02/2005 – 11/2008, Ph.D in Computer Science, Max-Planck Institute for Computer Science, Saarbrücken, Germany
10/2003 – 01/2005, Master in Computer Science, International Max-Planck Research School, Saarbrücken, Germany
09/1999 – 07/2003, Bachelor in Computer Science and Bachelor in Physics, Nanjing University, China

Teaching

WS2018- , Introduction to Artificial Intelligence in Medical Imaging for Non-Informatics Scientists, Medical Graduate Center, Technical University of Munich
FS2021- , Clinical Decision Support, Master Program for Artificial Intelligence in Medicine, University of Bern
FS2021- , Advanced Medical Imaging, Master Program for Biomedical Engineering, University of Bern

Professional activities

Member of Physics Committee of European Association of Nuclear Medicine (EANM)
Member of Task Group 36, International Commission on Radiological Protection (ICRP)
Associate editor of Eur J Nucl Med Mol Imaging
Associate editor of EJNMMI Physics
Section editor of Nuklear Medizin
Editorial board of EJNMMI Research,
FS2021- , Clinical Decision Support, Master Program for Artificial Intelligence in Medicine, University of Bern
FS2021- , Advanced Medical Imaging, Master Program for Biomedical Engineering, University of Bern

Student Projects

If you are looking for a Bachelor or Master thesis around these topics please contact me.

Software development for treatment planning for radiopharmaceutical therapy
Artificial intelligence for personalized treatment for radiopharmaceutical therapy
Artificial intelligence for early diagnosis of pancreatic cancer
Artificial intelligence for ultra-low-dose PET imaging
Artificial intelligence for early diagnosis of neurodegenerative diseases including Parkinson’s disease and Alzheimer’s disease
Brain and multi-organ connectivity
Imaging reconstruction and small nuclear medicine instrumentation
Computational modelling and mathematical oncology for precision medicine

Selected publications

Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler. Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. CoRR abs/2305.10569
Dong S, Pan Z, Fu Y, Xu D, Shi K, Yang Q, Shi Y, Zhuo C. Partial Unbalanced Feature Transport for Cross-Modality Cardiac Image Segmentation. IEEE Trans Med Imaging. 2023 Jun;42(6):1758-1773.
Li Y, Hu J, Sari H, Xue S, Ma R, Kandarpa S, Visvikis D, Rominger A, Liu H, Shi K. A deep neural network for parametric image reconstruction on a large axial field-of-view PET. Eur J Nucl Med Mol Imaging. 2023 Feb;50(3):701-714.
Fu Y, Dong S, Niu M, Xue L, Guo H, Huang Y, Xu Y, Yu T, Shi K, Yang Q, Shi Y, Zhang H, Tian M, Zhuo C. AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images. Med Image Anal. 2023 May;86:102787.
Wang M, Schutte M, Grimmer T, Lizarraga A, Schultz T, Hedderich DM, Diehl-Schmid J, Rominger A, Ziegler S, Navab N, Yan Z, Jiang J, Yakushev I, Shi K. Reducing instability of inter-subject covariance of FDG uptake networks using structure-weighted sparse estimation approach. Eur J Nucl Med Mol Imaging. 2022 Dec;50(1):80-89.
Min Wang, Bixiao Cui, Yi Shan, Hongwei Yang, Zhuangzhi Yan, Lalith Kumar Shiyam Sundar, Ian Alberts, Axel Rominger, Thomas Wendler, Kuangyu Shi, Yan Ma, Jiehui Jiang, Jie Lu. Non-Invasive Glucose Metabolism Quantification Method Based on Unilateral ICA Image Derived Input Function by Hybrid PET/MR in Ischemic Cerebrovascular Disease. IEEE J. Biomed. Health Informatics 26(10): 5122-5129
Guo R, Xue S, Hu J, Sari H, Mingels C, Zeimpekis K, Prenosil G, Wang Y, Zhang Y, Viscione M, Sznitman R, Rominger A, Li B, Shi K. Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction. Nat Commun. 2022 Oct 6;13(1):5882.
Xue S, Gafita A, Dong C, Zhao Y, Tetteh G, Menze BH, Ziegler S, Weber W, Afshar-Oromieh A, Rominger A, Eiber M, Shi K. Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy. Eur J Nucl Med Mol Imaging. 2022 Oct;49(12):4064-4072.
Wu P, Zhao Y, Wu J, Brendel M, Lu J, Ge J, Bernhardt A, Li L, Alberts I, Katzdobler S, Yakushev I, Hong J, Xu Q, Sun Y, Liu F, Levin J, Höglinger GU, Bassetti C, Guan Y, Oertel WH, Weber W, Rominger A, Wang J, Zuo C, Shi K. Differential Diagnosis of Parkinsonism Based on Deep Metabolic Imaging Indices. J Nucl Med. 2022 Nov;63(11):1741-1747.
Birindelli G, Drobnjakovic M, Morath V, Steiger K, D'Alessandria C, Gourni E, Afshar-Oromieh A, Weber W, Rominger A, Eiber M, Shi K. Is Hypoxia a Factor Influencing PSMA-Directed Radioligand Therapy?-An In Silico Study on the Role of Chronic Hypoxia in Prostate Cancer. Cancers (Basel). 2021 Jul 8;13(14):3429
Shi K, Fürst S, Sun L, Lukas M, Navab N, Förster S, Ziegler SI. Individual refinement of attenuation correction maps for hybrid PET/MR based on multi-resolution regional learning. Comput Med Imaging Graph. 2017 Sep;60:50-57.
Xiaoyin Cheng, Zhoulei Li, Zhen Liu, Navab N, Sung-Cheng Huang, Keller U, Ziegler SI, Kuangyu Shi. Direct Parametric Image Reconstruction in Reduced Parameter Space for Rapid Multi-Tracer PET Imaging. IEEE Trans Med Imaging. 2015 Jul;34(7):1498-1512.
Cheng X, Navab N, Ziegler SI, Shi K. Direct parametric image reconstruction of rapid multi-tracer PET. Med Image Comput Comput Assist Interv. 2013;16(Pt 3):155-62.
Shi K, Astner ST, Sun L, Navab N, Nüsslin F, Vaupel P, Wilkens JJ. Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images. Med Image Comput Comput Assist Interv. 2011;14(Pt 1):484-91.